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Documented path

Jayesh Gadewar

Founders / operators · Founder/Entrepreneur · milestone at age 23 ·Professionally distinctive
Selected age-relative milestone · age 23
Co-founded Scrut Automation in late 2021 at age 23, raised $3.1M from Lightspeed Venture Partners and Endiya Partners, and grew to 200 enterprise customers and 70 engineers by age 25; named to Forbes India 30 Under 30 2023.

Born in Mumbai, India. Started his first tech business at age 13 — MHMGaming, a gaming server portal offering hosting for games like Counter-Strike, where he handled system setup, Linux servers, and hardware management. Earned a Bachelor of Engineering in Computer Science from Mumbai University. Interned at Neuralbits Technologies (2018), co-founded Gomigo (an accounting tool for small businesses), and then co-founded Scrut Automation in late 2021 with Aayush Ghosh Choudhury and Kush Kaushik.

Starting point

Born in Mumbai, Maharashtra, India; started first tech business (gaming server hosting) at age 13 with friends; parents' professions not documented.

Current position (2025)

Co-founder and CTO of Scrut Automation; 70 engineers; 200 enterprise customers across US, EU, and APAC; Forbes India 30 Under 30 2023.

Where the conditions came from

Three sources, read side by side

Each is placed on a −1 to 3 scale from documented evidence, and the three are never added together. A combined total would rank Jayesh Gadewar against other people. Held apart, they explain why this path ran differently from another one—which is the only comparison this project supports.

The marble itself

What they brought

+2Tailwind

What capability, drive, or early skill is documented in the person rather than their surroundings?

Started a gaming server business (MHMGaming) at age 13, managing Linux servers and hardware for Counter-Strike hosting. Self-taught systems experience well before university, showing early technical aptitude and entrepreneurial drive.

Where it was dropped

What they were handed

0Neither way

What money, family standing, network, or permission was already in place before the work began?

Born in Mumbai, India in 1999. No evidence of family wealth or domain connections. Attended Mumbai University for engineering — a standard public university path.

The shape of the track

What surrounded them

+1Tailwind

What place, timing, institution, or peer group made the next step available?

Mumbai University engineering provided baseline technical education. Co-founder team at Scrut Automation and Lightspeed/Endiya backing provided some ecosystem support, but no elite institutions or notable mentors in early stages.

A −1 is a documented headwind, not a missing value; a 0 means the sources record nothing notable either way. Annotation confidence: Medium. These are analyst readings of what the sources record, not measurements of merit, talent, or effort. The twenty-two scored dimensions remain available inside the deeper research detail.

What moved through the conditions

Perseverance and luck stay visible—not scored.

Documented perseveranceNot documented in the reviewed biographical summaries.

Silence in a biography is not evidence that perseverance was absent.

Structural luckThe idea emerged from building internal compliance automations at a previous venture.

This is an unchosen opening or condition in the record, not an estimate of how much luck caused the outcome.

Open the legacy 22-field research annotation
How this path compounded
01 Starting advantages

8/24 starting-position score

Strongest documented signals: Exceptional peer / cofounder, Direct domain exposure, Elite institution pipeline.

Describes the starting position, not what the person later made of it.

Cohort percentile: 89
02 Built or converted leverage

14/25 multiplying-capacity score

Strongest observed levers: Complementary team, Domain proximity, Started serious reps before 20.

Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Cohort percentile: 89
03 Compounding trajectory

5 documented steps

The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.

Milestone at age 23
04 Observed career standing

T4 · Specialist-known

Notable, but primarily known within a niche. The tier summarizes documented career recognition through the data cutoff—not Jayesh Gadewar's worth or future potential.

Question four · where did the leverage come from?

Jayesh Gadewar's leverage provenance

Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.

Started serious reps before 201/1
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Rare early tools (1/2)Elite institution pipeline (1/2)Early online platform (1/2)
Complementary team2/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Exceptional peer / cofounder (2/2)Elite institution pipeline (1/2)Early online platform (1/2)
Domain proximity2/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Direct domain exposure (2/2)Frontier geography (1/2)Elite institution pipeline (1/2)
Prior reps2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Rare early tools (1/2)Elite institution pipeline (1/2)Early online platform (1/2)
Scarce skill depth2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Rare early tools (1/2)Elite institution pipeline (1/2)Early online platform (1/2)
Structural wave / timing2/3
Externalmedium confidence

A structural wave is external to the person, even when their position improved access to it.

Frontier geography (1/2)Early online platform (1/2)
Concentration intensity2/3
Unresolvedlow confidence

No current annotation distinguishes self-built, enabled, or earned origins for this lever.

No decisive linked signal
Elite ecosystem network1/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Elite institution pipeline (1/2)Frontier geography (1/2)Exceptional peer / cofounder (2/2)

This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Jayesh Gadewar's outcome attributable to any origin.

Luck is not a leftover score.

Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.

Within Founders / operators, Jayesh Gadewar's starting-advantage total is at the 89th percentile. Separately, their built or converted leverage total is at the 89th percentile. Other T4 profiles average 5.9 / 24 starting advantage and 10.4 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
  1. 2011 · age 13
    Co-founded MHMGaming, a gaming server portal offering hosting
    For Counter-Strike and other games; managed Linux servers and hardware.
  2. 2018 · age 20
    Software engineering internship
    Neuralbits Technologies while studying at Mumbai University.
  3. 2020 · age 22
    Co-founded Gomigo, a simple accounting tool for small businesses
    Ran for ~11 months before shutting down.
  4. 2021 · age 23
    Co-founded Scrut Automation (Riversys Technologies)
    Aayush Ghosh Choudhury and Kush Kaushik; raised $3.1M from Lightspeed and Endiya Partners.
  5. 2023 · age 25
    Named to Forbes India 30 Under 30 2023
    Scrut grown to 70 engineers and 200 enterprise customers.
Primary leverage engine
Early technical reps
Early specialization / prior reps
Secondary engine
Product / domain insight
Built/converted leverage
14 / 25
evidence: Medium
Built or converted leverage

Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Started serious reps before 20
1/1
Prior reps
2/3
Scarce skill depth
2/3
Native distribution
0/3
Elite ecosystem network
1/3
Complementary team
2/2
Structural wave / timing
2/3
Concentration intensity
2/3
Capital safety
0/2
Domain proximity
2/2
Starting-advantage scores (0–2 each)

Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."

Family financial platform
0/2
Parent / family domain
0/2
Inherited audience / network
0/2
Elite institution pipeline
1/2
Frontier geography
1/2
Rare early tools
1/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
2/2
Early online platform
1/2
Direct domain exposure
2/2
Prodigy / innate ability
0/2
Adversity / constraint catalyst
0/2

Family context

Born in Mumbai, Maharashtra, India. Parents' names and professions not documented in reviewed sources. Started a gaming server business at 13 with friends, indicating early technical curiosity and self-driven entrepreneurship.

Parent / family domain

Not documented in reviewed sources. Early tech business at 13 suggests self-driven interest rather than family domain transfer.

Archetype & tags
Self-created domain repetitiongaming server business at 13Linux/server managementMumbai University engineeringco-founder teamGRC compliance domainLightspeed backing
Evidence summary

Jayesh Gadewar started his first tech business at age 13, running a gaming server portal (MHMGaming) for titles like Counter-Strike, where he managed Linux servers and hardware. This early technical self-education gave him deep systems experience before university. After earning an engineering degree from Mumbai University and a brief internship at Neuralbits Technologies, he co-founded Gomigo (accounting tool) and then Scrut Automation in late 2021 with two co-founders. The idea emerged from building internal compliance automations at a previous venture. Scrut raised $3.1M from Lightspeed and grew to 200 enterprise customers. Family background details are not documented in reviewed sources.

advantage confidence: Medium · source count: 4 · audit: source_verified · status: subagent_researched_beta

Sources
Related — same primary engine
Lewis Hamilton
Motorsport · age 10
Won the British Kart Championship at 10, was signed to the McLaren-Mercedes Young Driver Programme at 13, won F1 World Championship at 23 in 2008, and won multiple Grands Prix by 26.
Leverage 24/25T1
Mathieu van der Poel
Cycling · age 17
Won junior world, European, and national cyclo-cross titles at 17 (2012-13); became the youngest ever elite cyclo-cross world champion at age 20 (2015); by 26, won the Tour of Flanders twice (2020, 2022), Amstel Gold Race (2019), and a Tour de France stage (2021).
Leverage 21/25T1
Michael Jackson
Music · age 24
Released 'Thriller' in November 1982 at age 24, which became the best-selling album of all time. Earlier milestones include four consecutive No. 1 Billboard Hot 100 singles with the Jackson 5 starting in 1969 at age 11, and the breakthrough solo album 'Off the Wall' in 1979 at age 21.
Leverage 20/25T1
Wesley Sneijder
Soccer · age 19
Won the Eredivisie with Ajax in 2003-04 (age 19-20) and the Johan Cruyff Trophy for best young player in the Netherlands; by 26, he had won La Liga with Real Madrid (2007-08) and the Champions League, Serie A, and Coppa Italia treble with Inter Milan (2009-10).
Leverage 20/25T2
Kornelia Ender
Other Sports · age 13
Won three Olympic silver medals at the 1972 Munich Olympics at age 13, then four gold medals at the 1976 Montreal Olympics at age 17 while setting world records in each event, becoming the first woman to win four swimming golds at a single Olympics.
Leverage 20/25T2
Deng Yaping
Tennis · age 16
By age 26, Deng had won four Olympic gold medals (1992 and 1996, singles and doubles), eighteen world championship titles, and held the world #1 ranking for eight consecutive years, becoming the greatest female table tennis player of her era.
Leverage 20/25T1